http://rdf.ncbi.nlm.nih.gov/pubchem/reference/21049704

Outgoing Links

Predicate Object
contentType Journal Article
issn 0129-0657
1793-6462
issueIdentifier 02
pageRange 2150048-
publicationName International Journal of Neural Systems
startingPage 2150048
hasFundingAgency http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_487baf6554eb36bb22c6138d90a7c50f
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_68d24967eaf79370d93ad80db300bbb3
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_eaaf2eeb78d8a31cf0a0e085b3eeb836
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_89781d1db232a069a9b0df2e3467b970
bibliographicCitation Wang X, Zhang G, Wang Y, Yang L, Liang Z, Cong F. One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG. Int J Neural Syst. 2022 Feb;32(2):2150048. doi: 10.1142/s0129065721500489. PMID: 34635034.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_ee3b8dc0fd4af22415d08d9fa6fd3a59
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_080011f67ff84be10359fbd737e3a48d
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_0a07b0f119228583a94624033fa56ef5
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_89b729f997c571a5ebbf6de80311739f
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f749cfdca0d90dd1b6d4e4932dc98ecc
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_8e91b41633b793451857f38eafb43d24
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-0058-2429
date 2021-10-12-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://pubmed.ncbi.nlm.nih.gov/34635034
https://doi.org/10.1142/s0129065721500489
isPartOf https://portal.issn.org/resource/ISSN/1793-6462
https://portal.issn.org/resource/ISSN/0129-0657
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/2597
language English
source https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG
hasPrimarySubjectTerm http://id.nlm.nih.gov/mesh/D012640Q000175
http://id.nlm.nih.gov/mesh/D000069280
hasSubjectTerm http://id.nlm.nih.gov/mesh/D016571
http://id.nlm.nih.gov/mesh/D004569
http://id.nlm.nih.gov/mesh/D006801
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID9191
http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID7617

Total number of triples: 36.